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Senior Manager, MED RWE/Epi Scientist Role Summary The Senior Manager, RWE/Epi Scientist, position within Medical Evidence Development (MED) Real-World Evidence & Epidemiology (RWE/Epi) provides an opportunity for a collaborative epidemiologist to support real-world evidence and epidemiologic studies as part of Medical strategy across the entire drug development process. The candidate will be responsible for synthesizing the literature and contributing to the design, conduct and reporting of global epidemiologic research studies on Pfizer I&I products. The Senior Manager will also be accountable for the quality, timeliness, and efficiency of all RWE/Epi deliverables in assigned product/disease area, and maintain an internal network of Pfizer stakeholders to cultivate innovation, cross-functional collaboration, and identify new opportunities for RWE/Epi to increase the value of Pfizer assets. The candidate will develop external partnerships to leverage data resources and collaboration on high priority global studies. Responsibilities include authoring and reviewing study protocols, reports, and presentations, as well as communication in writing and presentations to internal stakeholders, regulatory authorities, and medical professionals. The candidate will also be responsible for non-study deliverables such as RWE insights, epidemiology literature reviews, regulatory responses, and department initiatives. This position will report directly to the Hem-Onc Team Lead in RWE/Epi. Capabilities * Skill and experience identifying, designing and supporting or leading real-world evidence studies of disease epidemiology and effectiveness as part of the global cross-functional Integrated Evidence Plan. * Maintain knowledge and awareness of internal and external data resources and identify appropriate studies for addressing questions of interest, recognizing the limitations and strengths of various design options and data sources * Partner with Chief Medical Office colleagues to address asset team evidence needs and support global regulatory submissions to the FDA, EMA and other agencies. * Deliver rapid insights from real-world, observational data source * Develop and deliver presentations, webinars, manuscripts, scientific data packages or other communication modalities * Assure the highest standards of quality, compliance and management of all research activities * Participate in RWE/Epi peer review of study protocols and study reports * Document all requests and track progress toward project completion, other metrics and business goals Qualifications * PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or Other Biological Science fields with a substantial quantitative component and at least 1 years of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master’s degree and at least 5 years of experience in the pharmaceutical, academic and/or medical environment, at least 1 of which were in the pharmaceutical industry. * Demonstrated strong quantitative skills and methods expertise to generate rapid insights from real-world / observational data source * Demonstrated strong technical writing skills and oral presentation skills with a track-record of publishing in peer-reviewed journals and presenting at medical/scientific conferences * Demonstrated ability to convert complex analysis into meaningful insights with data visualization and presentation tools and able to manipulate and analyze complex structured and unstructured data from multiple real world evidence sources. * Ability to work under pressure with a high level of autonomy/leadership on research projects and collaborate with multiple partners in a matrixed environment * Knowledgeable of the external regulatory environment for real-world evidence and maintains awareness of scientific developments in epidemiology, medicine, and technology (e.g., artificial intelligence). Bonus Points If You Have (Preferred Requirements): * Proficiency in rapid real-world data analytical platforms * Experience working with real-world data (RWD) including Electronic Medical Records (EMR), claims, and surveys * Excellent problem-solving and decision-making abilities * Ability to influence and collaborate with senior management and stakeholders * Strong project management skills with the ability to handle multiple projects simultaneously Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Lifting, sitting, standing, walking, bending, ability to perform mathematical calculations and ability to perform complex data analysis. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed. OTHER JOB DETAILS * Last Date to Apply for Job: December 29, 2025 * Eligible for Relocation Package: No The annual base salary for this position ranges from $135,100.00 to $225,100.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. • The annual base salary for this position in Tampa, FL ranges from $121,600.00 to $202,600.00. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

ProKatchers is seeking a travel Clinical Lab Scientist (CLS) for a travel job in New York, New York. Job Description & Requirements • Specialty: Clinical Lab Scientist (CLS), • Discipline: Allied Health Professional, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, days, • Employment Type: Travel Shift Details: 4:00 AM - 12:00 PM (Morning Shift) Professional Experience: One (1) year of Clinical Laboratory Technologist experience. Education: Associates Degree from an accredited laboratory tech program. License: Valid license to practice as a Clinical Laboratory Technologist (092) issued by NYSED and Primary Source Verification Certificate: BLS (AHA Only) About ProKatchers Founded in 2016, ProKatchers Inc. is a JCC-certified organization and a recognized leader in healthcare staffing. Named one of the Fastest Growing Healthcare Staffing Firms by Staffing Industry Analysts (SIA) for 2023–2024, we are proud to be among the top-rated companies in our industry. At ProKatchers, we offer both short- and long-term contracts, as well as travel opportunities for licensed and experienced healthcare professionals across the United States. We are committed to providing industry-leading benefits and personalized career support. We understand that finding the right fit is about more than just a job—it’s about aligning your career with your lifestyle. That’s why our dedicated team of career specialists takes the time to get to know you and match you with assignments that meet your goals and aspirations. ProKatchers has also been recognized by SIA as one of the Best Staffing Firms to Work For—a testament to our employee-first approach. We specialize in placing clinical and allied health professionals in a wide range of healthcare settings, including acute care hospitals, skilled nursing facilities, long-term care centres, rehabilitation facilities, behavioural health canters, home and community health programs, urgent care clinics, and more.

PRIDE Health is seeking a travel Clinical Lab Scientist (CLS) for a travel job in New York, New York. Job Description & Requirements • Specialty: Clinical Lab Scientist (CLS), • Discipline: Allied Health Professional, • Duration: 14 weeks, • 40 hours per week, • Shift: 8 hours, days, evenings Pride Health Job ID #3-36641181. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. About PRIDE Health PRIDE Health is the minority-owned healthcare recruitment division of Pride Global—an integrated human capital solutions and advisory firm. With our robust and abundant travel nursing and allied health employment options across the U.S., PRIDE Health will allow you to help change the way the world lives and heals as it connects you with the industry’s leading healthcare organizations. Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Benefits • Weekly pay, • Holiday Pay, • Guaranteed Hours, • 401k retirement plan, • Cancelation protection, • Referral bonus, • Medical benefits, • Dental benefits, • Vision benefits

Job DescriptionWhile we don't currently have roles open on our performance team, we're always on the lookout for incredible people, and slowly building a pipeline of candidates for our Performance Technician position. If you feel your experience and interests align with the following, and you're passionate about the space we're in and the athletes we serve, feel free to leave your résumé with us here. The Performance Technician is a part-time, hands-on role responsible for the administration of performance testing batteries within our sports science facility. This position supports a critical tier of our holistic human performance assessment, producing key metrics used by our medical and performance teams. As the in-person representative of our organization, the Performance Technician plays a pivotal role in delivering an exceptional member experience. The role involves direct engagement with elite and avid athletes, guiding them through sport-specific performance tests in a way that is clear, engaging, and aligned with their goals. We’re looking for someone with high energy and enthusiasm—someone who can keep members engaged, motivated, and excited throughout the full assessment experience. Technicians are expected to follow standardized procedures, operate cutting-edge sports science technologies, collect and organize performance data, and summarize key findings for internal stakeholders. Success in this role requires a strong background in coaching, customer service, sports science, and exercise physiology, as well as a deep appreciation for holistic health and wellness in the context of athletic performance. This position is based in New York City.Education & Certifications • Bachelors in Kinesiology/Exercise Science, or similar, • Certified Personal Trainer, Certified Strength & Conditioning Specialist, Clinical Exercise Physiologist, or similarExperience, • 2+ years experience as a Sports Scientist, Sports Performance Coach, or Personal Trainer, using data to drive clinical/performance decision making2+ years experience in a customer relationship rolePersonality, • Natural Leader: Unique ability to open doors in the potential of others, guiding them and supporting them toward their best, • Adaptable Conversationalist: Highly sociable, with an organic ability to form quick relationships; can quickly read the personality-type of a member, and adapt conversation style & tone accordingly, • Consistent Bringer of Energy: Contagious enthusiasm, that motivates members to engage and participate to the top of their abilities; consistently creates a lively environment, • Detail Oriented: Incredibly organized and attentive to detail, meticulous in assessment setup, flow, delivery, and data collection; thrives in a repeatable system mentality, • Confident Salesperson: Can comfortably explain the “why” of granular tests and holistic health, in a way that is individualized and sports-specific, • Health and Performance Obsessed: walks the talk of our members; active to the point of obsession, dialed and focused on personal holistic health principles (nutrition, sleep, mental health), believes and practices the necessity of taking proactive steps to improving life-long athleticismNice to Have, • Personal experience as an avid athlete or endurance sport competitor (specifically running or cycling), • Familiarity with DEXA body composition analysisResponsibilities, • Administer the sports specific testing batteries for members, including tests specific to mobility, motor control, strength, power, and aerobic capacity, • Learn and perfect the standard operating procedures of the test batteries (setup, directions, cues), ensuring the overall testing experience is seamless and repeatable, • Efficiently and accurately organize all data and results into the internal athlete management system, • Collaborate cross functionally with the medical and performance team, to ensure the athlete’s performance (both quantitative and qualitative) is fully understood, • Continually research performance tests, to assist in perfecting the companies testing batteries from an evidence based lens

We are seeking a driven technology transaction professional for a position within Mount Sinai Innovation Partners (MSIP), the technology and commercialization office of the Mount Sinai Health System. The Technology Transactions Associate (TTA) is responsible for drafting and negotiating a diverse portfolio of agreements and contracts in the support of the research activities of ISMMS Faculty. The ideal TTA candidate is reliable, motivated, efficient, collaborative, outcome-driven, and can thrive, execute in a fast-paced, high volume environment and is able to juggle many competing priorities. The TTA works in partnership with MSIP Business Development team, all ranks of the ISMMS Faculty, and other internal stakeholders such as General Counsel, Grants and Contracts, IRB, Compliance, and others. The TTA will negotiate agreements with outside parties at academic institutions, government agencies, and commercial entities to help ensure that innovative therapeutics, diagnostics, devices and other technologies are made available to our worldwide patient population and become the new standard of care Responsibilities: • Drafts, administers, reviews, and negotiates a variety of contracts including the following agreements: confidentiality, material transfer, inter-institutional, collaborative research, visiting scientist and others as assigned, • Interacts with ISMMS Faculty and acts as a subject matter expert for contracts-related issues., • Works closely with ISMMS Grants and Contracts Office to review and negotiate intellectual property terms for philanthropic grants and service agreements., • Maintains positive, productive relationships with commercial and academic sponsors., • Performs other related duties as assigned. Qualifications: • PhD or JD, preferred, • If JD, licensed to practice in NY, • 3 years contracting or law, preferably related to technology commercialization or IP, • Familiarity with healthcare, privacy, regulatory laws that are applicable to academic medical centers, such as HIPAA, GDPR, human subjects research, export controls, • Advanced knowledge of standard office software packages (e.g., Word, Excel, PowerPoint, etc.), • Highly organized with demonstrated ability to establish and execute priorities, • Ability to work independently in a high-pressure environment, negotiating a high-volume and variety of agreements, while creatively maneuvering obstacles and adhering to policy and procedure, • Flexibility and ability to manage numerous tasks concurrently and ability to act cooperatively with many individuals, • Ability to cultivate and maintain healthy and productive relationships with faculty, commercial sponsors, outside counsel and Mount Sinai staff and leadership. Detail-oriented and ability to perform with accuracy. Positive, energetic, team-oriented with a professional outlook Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Job Description Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: • Design and develop models to extract entities, detect intents, and understand document structure, • Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs, • Evaluate model performance where ground truth is partial, uncertain, or evolving Qualifications • 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models., • Proficiency with Python, • Experience with the latest in language models (transformers, LLMs, etc.), • Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc., • Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow, • Industry experience shepherding ML/AI projects from ideation to delivery, • Demonstrated ability to influence company KPIs with AI, • Experience with document layout analysis (using vision, NLP, or both)., • Experience with Spark/PySpark, • Experience with Databricks, • Play a key role in the success of our products by developing models for document understanding tasks., • Perform error analysis, data cleaning, and other related tasks to improve models., • Collaborate with your team by making recommendations for the development roadmap of a capability., • Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines., • Understand product use-cases and define key performance metrics for models according to business requirements., • Have a strong grasp of technologies upon which our platform is built., • Be independent in reading literature and doing research to develop models for new and existing products., • Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed., • Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. #LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$136,000—$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. We build the analytical foundation that informs strategy, optimizes execution, and ensures every customer-facing motion is guided by accurate, timely, and actionable intelligence. About the Role As a Senior Data Scientist, Sales Operations, you will play a pivotal role in shaping our commercial strategy and enabling data-driven decision making across the GTM organization. You will architect the data foundations for Sales, build advanced analytical and machine-learning models, and translate complex datasets into clear, strategic insights. Your work will directly guide forecasting, planning, segmentation, quota design, and GTM investments. You'll collaborate closely with cross-functional leaders and influence decisions at the highest levels. What You'll Do • Partner with Sales, Revenue Operations, Marketing, and Finance to define the data foundation for GTM, including instrumentation, metric definitions, pipelines, dashboards, and reporting., • Design, build, and maintain scalable data models and statistical/ML frameworks (e.g., segmentation, lead scoring, win/loss analysis, churn prediction, propensity modeling)., • Transform complex datasets into actionable commercial insights, identifying growth levers, bottlenecks, competitive dynamics, and customer behavior patterns — and convert them into strategic recommendations., • Lead GTM planning cycles: develop forecasting models, scenario planning, "what-if" analyses, target-setting methodologies, and playbooks., • Produce executive-level reporting and communicate insights and recommendations clearly to senior leadership and cross-functional stakeholders., • Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold best practices in modeling, documentation, and reproducibility., • Drive experimentation: design A/B tests, pilots, and measurement frameworks for new GTM initiatives, product launches, and sales motions., • Own the end-to-end analytics lifecycle: data collection → modeling → insight generation → strategy → execution → measurement., • Mentor junior data scientists, analytics engineers, and BI professionals; help cultivate a data-driven culture within Sales Operations.Who You Are, • 6–10+ years of experience in data science, sales operations analytics, business intelligence, or commercial strategy roles within SaaS, cloud, infrastructure, or high-growth technology environments., • Expertise with SQL, Python/R, large-scale datasets, statistical modeling, machine-learning methods, and data visualization tools., • Demonstrated ability to translate analytical outputs into strategic GTM recommendations and influence Sales/RevOps leadership., • Experience building forecasting models, segmentation frameworks, propensity models, or other advanced analytics used to drive revenue outcomes., • Strong understanding of GTM motions, sales funnel mechanics, segmentation and targeting, territory/quota design, pipeline generation, and churn/expansion dynamics., • Proven ability to communicate data and analysis clearly to senior leadership, using structured narratives and decision-ready insights., • Bachelor's degree in data science, statistics, mathematics, economics, engineering, business, or related field; advanced degree (MS/PhD) preferred.Preferred, • Experience with experimentation frameworks (A/B testing, causal inference, uplift modeling)., • Familiarity with modern data stacks (dbt, Snowflake, Looker, etc.)., • You love uncovering insights in messy datasets and turning them into strategic action., • You're curious about how GTM engines work and how data can unlock revenue growth., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description SoHo West / Hudson Square, New York City | Full-time | In-office We’re building the most loved hydration brand in the world. Be LOVE™ is building the future of hydration. Founded by Kurt Seidensticker (Founder of Vital Proteins, early investor in Ghost Energy and Koia) and Leslie Scofield (Toms, Aviator Nation, Summit Series), Be LOVE™ isn’t just another beverage brand—it’s a cultural movement for wellness, connection, and performance. Our balanced electrolyte drinks are made for everyone, every day, designed to help people feel their best. Our NYC office is the engine driving the brand forward. We’re building a team of A-players across marketing, growth, and technology—and we’re looking for a Head of Growth leader. The Head of Growth will be responsible for defining and executing the end-to-end growth strategy for Be LOVE™. You will not just manage a budget; you will be required to be hands-on in developing content, testing hooks, and establishing the systems that enable exponential scale. This role is highly cross-functional, sitting at the intersection of Content, Data, and Performance Marketing. Who You Are You design growth like an operating system. You build teams, scoreboards, and loops that compound. You balance ROAS and brand, speed and rigor, ambition and guardrails. You see the whole chessboard—Amazon to DTC to TikTok Shop to retail—and you move the right pieces at the right time. You eat TACoS for breakfast. Build Responsibilities • Develop and execute Amazon strategies, including PPC (AMS), Display (DSP), SEO, content optimization (A+ Content, Brand Story), inventory forecasting, FBA management, and ratings/reviews to drive top-of-funnel awareness and bottom-funnel conversions, • Set the growth cadence and keep one-truth dashboards current, • Build and scale a TikTok Shop affiliate program inspired by high-performing models: implement tiered commissions (e.g., scaling from entry-level to performance-based rewards), customer discounts for impulse buys, and a creator community via Discord for collaboration, onboarding, and motivation, • Accelerate content flywheel: Maintain daily posting consistency, curate hooks (e.g., underdog stories, celebrity endorsements), A/B test value props, and provide viral-ready assets for creators to remix—focusing on authentic, raw content to boost engagement and virility., • Maintain a hands-on platform presence (especially on TOF platforms like TikTok) to ensure the team is always aligned with native cultural and technical best practices., • Recruit and coach creators/affiliates: Design orientations (e.g., Notion-based videos), vet for brand alignment, and foster a tiered system with incentives like prizes, exclusive access, and custom bonuses to reward high-GMV performers, • Design and scale an in-house Creator/Affiliate Program from the ground up, prioritizing this "Creator Engine" model over reliance on external agencies., • Partner with sales, marketing, and supply chain teams on inventory management, 3PL setups (e.g., for FBM/Seller Fulfilled), and international expansion to ensure seamless D2C and marketplace operations., • Drive user acquisition through a "Speed & quantity beat polish" approach to content and perform relentless A/B Testing on all creative, landing pages, and messaging., • Manage core performance channels, including Social Media Advertising, Google PMAX, and Amazon Marketing Services (AMS), ensuring high efficiency in capturing demand and retargeting., • Define and track micrometrics (e.g., 3-second hold rate, watch time %, CTR) to provide granular, data-driven feedback to the creator team., • Manage and optimize key growth tools such as Shopify Plus (eCommerce platform) and Klaviyo (email/SMS marketing) to maximize conversion and Customer Retention., • Develop a tiered community and incentive system that leverages culture, status, and non-monetary rewards to motivate high-performing creators toward GMV goals. Data & Intelligence Leadership • Architect the Data Product: Directly oversee the AI/Data Ops Engineering team to build and govern reliable, real-time pipelines from all growth sources (Shopify, Amazon SP-API, Klaviyo, TikTok/Meta Ads) into our single source of truth (Looker/Mode), guaranteeing data freshness and accuracy for the entire organization., • Command Predictive Modeling: Direct the Growth Data Scientist to design, implement, and maintain advanced analytical models, including LTV curves, churn predictions, channel response curves, and incrementality tests (Geo Holdouts), ensuring these outputs directly inform the "next-best-dollar" budget allocation strategy., • Mandate AI-Driven Automation: Lead the strategic deployment of LLMs (e.g., GPT, Claude) and machine learning workflows to automate operational leverage, such as content tagging, review sentiment clustering, competitor analysis, and high-velocity ad copy iteration., • Govern the Testing Agenda: Own the overall test slate, prioritizing hypotheses from the team to maximize marginal return on media and on-site changes, and ensuring every test adheres to rigorous Experimentation Discipline (KPIs, lift thresholds, and clear start/stop/scale rules). Management Responsibilities • Lead omnichannel growth across Amazon, TikTok Shop, DTC (Shopify), and emerging marketplaces optimizing for ROAS, GMV, and LTV., • Design and Lead the Growth org, define roles and ladders across Ads, Amazon, DTC, Data/AI, and Performance, • Publish the quarterly plan with targets, budget mix, response-curve guardrails, and clear stage gates by channel, • Set allocation guardrails, approve in-quarter rebalances to highest marginal return, and document tradeoffs in plain English, • Own forecast governance with weekly rollups by channel with risks, upsides, and inventory constraints, tied to cash goals, • Standardize measurement by unifying last-click, halo, and incrementality into one read with confidence notes and caveats, • Set the testing agenda and prioritize hypotheses, define KPIs and lift thresholds, and enforce start/stop/scale rules, • Align Amazon, DTC, and TikTok Shop on price integrity, offers, bundles, and promo eligibility against stock, • Partner with Sales/Retail on velocity goals, creator-to-retail amplification, and sell-in stories backed by performance reads, • Ship executive-ready dashboards—MER/CAC/LTV, TACoS/ROAS, rank/CVR, retention cohorts—and empower teams with self-serve tools, • Coach leaders with clear scoreboards, constructive reviews, hiring loops, and onboarding that gets ramp in weeks, not months, • Brief the exec team with concise variance-and-actions, next-best-dollar calls, and scenario plans if X or Y moves, • Protect pace and compliance, enforce claims guardrails and platform policies, maintain rights/usage logs, keep audit-ready records You’ll Thrive If You… • Love turning scattered wins into a machine that compounds, • Can defend a budget shift in three bullets and a chart, • Default to lift over lore and prove it cleanly, • Keep the plan tight, the pace high, and the culture kind, • See around corners and flag risks before they cost us margin Tech Stack You Might Touch • Amazon Seller or Vendor Central and Ads, • TikTok Shop and Ads Manager, • Shopify, GA4, Looker or Mode, Search Console, • Helium10, DataDive, UTM and feed tools, • Google Sheets, Notion, Slack, Frame.io What Really Matters • Documented channel growth with ROAS, LTV, and contribution margin gains, • Plans and forecasts that matched reality and guided better allocations, • Programs that scaled from creator spark to retail velocity, • Dashboards and one-pagers leaders actually used to decide faster, • Teams you hired and coached that now ship at a higher bar Requirements Helpful Degrees: BS/MS in Data Science, Statistics, Mathematics, Economic, or Computer Science Alternatively Physics, Engineering, or Quantitative Finance • 8+ years of experience in Growth or Digital Marketing, with 2+ years specifically at the Director level for a DTC brand., • Proven expertise in building and scaling a TikTok-centric marketing strategy and managing a creator/affiliate network., • Experimentation Discipline with hypotheses, KPIs, lift thresholds, and start-stop-scale rules, • Creator-Economy Fluency to translate culture signals into performance programs that compound, • Financial Acumen on CAC, LTV, payback, contribution margin, and cash-aware planning, • Strong analytical skills with an obsession for A/B Testing and interpreting granular, non-standard growth data., • Expertise in setting up and managing a modern marketing tech stack, specifically Klaviyo, Shopify, and Google Analytics., • Proven Ownership of Amazon, DTC, and Social Commerce under one scoreboard, • Track Record reallocating budgets by marginal return and improving MER and profit, • Forecast Governance with models that hold up against actuals and inventory constraints, • Measurement Literacy across last-click, halo, and incrementality with clear judgment on trust, • Experience in Strategic Content Development and orchestrating content-first partnerships that yield immediate, repurposeable assets., • Executive Communication that turns complex reads into three bullets and a chart, • Team Builder who hires well, coaches leaders and ICs, and raises the bar fast, • Operator Mindset with tight cadences, one-truth dashboards, and crisp variance-and-actions, • High proficiency in managing paid performance channels across Meta (Instagram/Facebook), Google (PMAX), and AMS., • Demonstrated ability to maintain ruthless focus by selecting and saturating key market segments., • Retail Partnership Savvy linking creator demand to velocity, price integrity, and promo health Comprehensive medical, dental, vision, FSA/HSA, commuter benefits; 401(k) with dollar-for-dollar match; life & disability; monthly wellness and connectivity stipends. This is an in-office role in SoHo West / Hudson Square, NYC—five days a week. We move fast together.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityWe are seeking a talented and forward-thinking alloys Materials Scientist with expertise in materials research and development to join our innovative team at the forefront of interdisciplinary research. In this role, you will leverage cutting edge experimental techniques to accelerate materials discovery, design, and optimization, contributing to groundbreaking advancements in materials science.Mission • Design and execute experiments to synthesize and characterize materials, leveraging AI algorithms to guide experimental design and interpretation., • Analyze and interpret large datasets generated from experiments, simulations, and external sources to extract valuable insights into materials properties and behavior., • Work closely with AI scientists and engineers to translate materials properties, identify structure-property relationships, and optimize materials performance for specific applications., • Stay current with advancements in materials science theory and experimentation and apply new methodologies and techniques to advance research objectives., • Communicate research findings effectively through technical reports, presentations, and scientific publications, contributing to the dissemination of knowledge and the development of intellectual property.About you, • PhD or Masters degree in Materials Science, Chemistry, Chemical Engineering, Polymers, or a related field, • Strong background in materials science principles, including materials synthesis and characterization., • Deep knowledge of materials characterization and testing, as well as familiarity with laboratory safety protocols., • In-depth industry knowledge of metal synthesis, including potentials, limitations, and key process and equipment suppliers., • Specialized metallurgical knowledge and experience in metallographic and fractographic interpretation, corrosion, oxidation and materials characterization techniques is desired., • Excellent analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns, and draw meaningful conclusions., • Strong written and verbal communication skills, with the ability to convey technical concepts and research findings to diverse audiences.Pluses, • Experience with AI-driven materials research, including machine learning models for materials property prediction, materials informatics, and data-driven materials discovery., • Familiarity with one or more software languages (Python, C++, MATLAB, etc.), • Prior experience in transitioning AI + computational research into production environments.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job DescriptionAbout Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role is a two days a week in office, hybrid role that can sit in either our San Francisco office or our New York City office (Opening January 2026!) About the Role Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Senior Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and operations to provide data-driven insights and solutions that enhance our products and accelerate growth. What you will work on • Be a strategic thought partner with stakeholders from product, marketing, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner., • Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers, e.g. customer/partner acquisition, retention, conversion, etc., • Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences, • Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.Who you are, • BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field)., • A minimum of 5 years industry experience in data science; previous experience in a marketplace business is a plus, • Experience with advanced experimentation and statistical modeling, • Excellent analytical and problem-solving skills., • Excellent business acumen and strategic thinking skills, • Advanced in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git., • A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact The base pay range for this position is $145,000 - $180,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: • Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection., • The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!, • The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • 7-11 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: This two-year clinical psychology fellowship focuses on advancing training in autism spectrum disorder and co-occurring neurodevelopmental conditions by gaining strong expertise on state-of-the-art assessment and evidence-based interventions, and providing opportunity for scholar work. Throughout the fellowship, you will have opportunities for clinical licensure, contribute to research, and gain supervisory experience in the treatment of autism and related neurodevelopmental conditions. You will work in a multidisciplinary team across the clinical practice and research programs of our Autism Center with a structured effort between these programs in the first year and opportunity to further emphasize focus on a clinical and/or research project in the second year through a mentored elective. Reporting to the Founding Director, Autism Center/ Senior Research Scientist and Associate Director, Clinical Psychologist, this is a full-time and exempt position that's in office a minimum of 4 days per week. You Will: • Training to attain or maintain research reliability on the gold standard autism diagnostic instruments, including the Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2)., • Training in the diagnostic assessment of psychopathology often co-occurring with autism using standardized, semi-structured (e.g., KSADS) and qualitative clinical interviewing techniques., • Training and mastery on standardized measures of cognitive, language, academic, and adaptive skills (e.g., MSEL, Bayley-4, DAS-2, PPVT-5, WIAT-4, Vineland-3) that are commonly used in autism diagnostic evaluations, ranging from early toddlerhood through young adulthood, and measures (e.g., BOSA) that are newly developed to support assessments., • Training and mastery on initial autism diagnostic evaluations and re-evaluations, with emphasis on how to use the evaluations to appropriately tailor and guide a child's treatment and educational programming in a meaningful way, well matched to the child's needs and areas of strength. This will include mastery in writing comprehensive clinical reports and providing feedback in a co-constructive way to parents., • Training and proficiency in manualized treatments that are utilized in both the autism clinical and research programs. To include but not be limited to Children's Friendship Training (CFT), The Program for the Education and Enrichment of Relational Skills (PEERS®), Disruptive Behavior Parent Training for Autism: Rubi Autism Network and Unstuck and On Target., • Training on multiple evidence-based behavioral and cognitive behavioral treatment approaches, to target the psychopathology often associated with autism., • Mastery in managing a clinical case load, including meeting and maintaining clinical productivity targets for patient care., • Completed PhD or PsyD from an APA-accredited graduate program in clinical, counseling, school-clinical, or school psychology., • The doctoral degree above must be conferred approximately six weeks before beginning the position., • Limited Permit to practice psychology in NY State., • Completion of doctoral internship. Application Details and Instructions To apply, please visit . Applications submitted through third-party websites (e.g., Indeed, ZipRecruiter, etc.) will not be reviewed. Candidates will need to submit the following: • Cover letter (attention: Drs. Adriana Di Martino, Conner Black, and Kenneth Schuster), • Curriculum vitae, • Two letters of recommendation, • Three reference contacts The primary trainers at the autism Centers includes clinical psychologists , the team regularly collaborates with pediatric neuropsychologists, child and adolescent psychiatrists, and other staff from our multidisciplinary clinical and research team. • Conner Black, PhD Associate Director, Clinical Psychologist, • Jenniffer ho, PhD Clinical Psychologist, • Bosi Chen, PhD Clinical Psychologist, • Adriana Di Martino, Founding Director #LI-hybrid Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job DescriptionCompany Overview:Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises — from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic — we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others. Job Summary:The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations. The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions. The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs. The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available. This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data tobe accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work. Responsibilities: • Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods, • Identify and/or assist development of AI/ML methods and/or practices; promote them to agency’s data analysts, data engineers, data scientists, and researchers through trainings and/or reports, • Contribute to development of health equity-focused data products, • Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large, • Collaborate with internal and external researchers and analysts for various research projects, • Author reports, presentations, and scientific papers based on analyses Qualifications:, • A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms, • High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow, • Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks), • Experience in the development and deployment of foundation models, • Advanced knowledge and experience in data wrangling, analysis, and visualization, • Knowledge of public health research and operations, including health equity, • Experience developing user interfaces and dashboards, working with geospatial data a plus, • Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies., • This is a temporary grant-funded position ending in November 2027 At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Hybrid 35 Hours Per Week

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. Reporting to the VP of Data Science, as the Senior Data Scientist on our Measurement Sciences team, you will design and operationalize robust measurement frameworks—leveraging causal inference, experiment design, and advanced machine learning—to deliver transparent, actionable insights on ad incrementality, audience targeting, and cross-platform attribution. You will provide thought leadership and help guide the transformation of how advertisers measure, attribute, and optimize TV campaigns across linear and streaming platforms.WHAT YOU'LL DO • Design and implement ad incrementality measurement methodologies (A/B tests, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and Connected TV (CTV) campaigns, • Develop globally scalable audience segmentation and targeting models using our viewership data ecosystem via millions of connected TVs, • Build and validate multi-touch attribution frameworks that reconcile impressions, views, and conversions across linear, CTV, OTT, and digital channels, • Lead the full analytics lifecycle—from data ingestion/ETL (SQL, Spark, Python) through feature engineering, model development, evaluation, and production deployment, • Partner closely with data engineering and DevOps teams to operationalize models in our cloud platform and ensure data quality, security, and scalability, • Translate complex analytical findings into clear, concise presentations and dashboards for internal stakeholders and external clients, driving strategic decision-making., • Support sales and marketing teams with the development of strong positioning stories to highlight the value of our audience media and measurement opportunities, • Mentor junior data scientists and analytics engineers, fostering best practices in experimentation, code quality, and reproducibility WHO YOU ARE, • Have a Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field, • 7-10 years of hands-on experience in advertising/marketing analytics, media measurement, or a closely related discipline, • Expert in causal inference techniques (RCT design, difference-in-differences, propensity scoring, synthetic control) and uplift modeling. Background in Bayesian statistics or hierarchical modeling for uncertainty quantification, • Have a proven track record building attribution and incrementality solutions for TV and cross-media campaigns, • Have advanced programming skills in Python and SQL; Familiarity with Spark or other distributed compute frameworks, • Have demonstrated leadership in mentoring small data science teams and managing end-to-end data science projects, • Able to visualize data in a way that makes it easy for others to understand, • Are detail-oriented, highly organized, and proactive, • Have strong verbal and written communication skills, with the ability to explain complex analyses to both technical and non-technical audiences, • Thrive in a dynamic, fast-paced Agile and global environment, and being a team player, • Experience with data platforms (Databricks, Sagemaker, BigQuery, etc.), data orchestration tools (Airflow, dbt) and CI/CD best practices a plus, • Bonus: Strong knowledge or experience working with TV viewership data sources (set-top box, return-path, panel, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.)

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Role We're seeking a Data & Business Intelligence Analyst to join our People team. This role blends technical BI expertise with workforce analytics, helping CoreWeave's leadership make data-driven decisions about our people, performance, and organizational effectiveness. You will own the design and delivery of dashboards, analytics, and reporting solutions—ranging from HR and workforce metrics to company-wide executive insights. Your work will connect data from multiple systems, ensure quality and accessibility, and transform complex information into compelling, actionable narratives for leaders at every level. What You'll Do • Develop and deliver reporting solutions that empower HR, People Operations, and senior leadership to make informed, data-driven decisions., • Design and maintain executive-level dashboards, establishing clear, consistent visualization standards across the People organization., • Lead workforce analytics initiatives, providing insights into employee experience, engagement, performance, and beyond., • Support system transitions, including Workday HRIS migration, ensuring data integrity and continuity during major changes., • Collaborate cross-functionally with Data Engineering, People Ops, Finance, and IT to align reporting needs, improve data accessibility, and drive strategic outcomes., • Model, query, and optimize large datasets using SQL and BI tools, translating technical analysis into meaningful business insights., • Analyze and interpret data from HR systems, surveys, and performance platforms (e.g., FreshService, Lattice) to identify trends and opportunities., • Establish and uphold data governance and visualization best practices, ensuring accuracy, consistency, and security across reporting., • Mentor colleagues in analytics techniques, fostering a culture of data fluency across HR and business functions. Who You Are Minimum Qualifications • 5+ YOE as a Data Analyst, Data Scientist, or Data Engineer, • Bachelor's degree in Data Analytics, Business, Economics, Computer Science, or a related field, or equivalent experience., • Experience with Workday reporting and analytics., • Experience supporting system transitions, including Workday HRIS migration and data migrations related to mergers and acquisitions (M&A), while ensuring data integrity and continuity during major changes., • Experience leveraging generative AI (GenAI) and modern analytics practices, such as LLM-powered data querying, AI-assisted visualization, automated data storytelling, and predictive insight generation to accelerate analysis and decision-making., • Expert proficiency in SQL and experience working with large, complex datasets., • Hands-on experience with Tableau (or equivalent BI tools like Power BI, Looker)., • Strong analytical and problem-solving skills, with the ability to distill complex findings into actionable insights., • Excellent communication skills—able to translate data into stories that influence senior leadership., • Familiarity with HR data sources (HRIS, ATS, survey tools, performance systems) and HR metrics., • Advanced experience with scripting languages (Python, R, or similar) for automation and analysis., • Experience querying data warehouses (e.g., Snowflake, BigQuery, Redshift, StarRocks)., • Knowledge of data governance and Global HR data privacy best practices., • Experience with Airflow, Spark, or other data orchestration and distributed computing tools is a plus. The base salary range for this role is $98,000 to $143,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. About the Opportunity: We're seeking a Staff Data Scientist to lead the science and systems that power our paid search marketing. You'll design the causal measurement stack, ship models that influence bidding and budgeting in real time, and partner with marketing, data, and platform teams to drive profitable, incremental growth. StubHub is the largest secondary ticket market in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. The core challenge for our marketing efforts is to acquire as many new customers as possible, efficiently, and at the right time in their customer journey, making it a complex and highly impactful domain. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA What You'll Do: • Own causal measurement for paid search: Stand up uplift/incrementality frameworks (e.g., doubly robust learners, causal forests, DML, IVs, synthetic control, DiD, BSTS) to quantify lift beyond correlation., • Ship production models: Build and serve models that inform bids, budgets, and query-level targeting using signals like incremental CPA, tROAS, LTV, and heterogenous treatment effects., • Design experiments & guardrails: Architect geo/cell tests and online experiments; handle power analysis, pre-trend checks, SUTVA threats, SRM detection, and sequential monitoring., • Integrate with ad platforms: Translate science into APIs/feeds for Google Ads, Microsoft Advertising, and SA360; validate against auction dynamics and Quality Score mechanics., • Data & MLOps leadership: Partner with platform teams to instrument events, build reliable feature stores and ETL (batch/stream), and establish monitoring for drift, bias, leakage, and attribution sanity., • Mentor & influence: Provide technical leadership across science, engineering, and marketing; set standards for methodology, code quality, documentation, and reproducibility., • 8+ years in applied ML/causal inference (or equivalent) with direct paid search/auction experience., • Expert in causal methods (uplift modeling, DML, IV, DiD/synth control, BSTS/Bayesian time series) and experimental design., • Strong software engineering: Python (pandas, numpy, scikit-learn, LightGBM/XGBoost), SQL; experience with Spark and one of AWS/GCP/Azure., • Hands-on with A/B frameworks, power analysis, and measurement diagnostics (SRM, balance, interference)., • Proven track record integrating with Google Ads/Microsoft Ads/SA360 and moving the needle on tROAS, CPA, LTV., • Strong experience with SEM optimization and bidding, particularly from the ad-buyer side., • Recsys, bandits/RL for bidding/budget pacing, MMM and privacy-aware attribution., • Scala/Java or microservices experience; Airflow/DBT; Kafka/PubSub; Feast or similar feature stores., • Technical leadership through influence rather than formal management authority, • Strategic thinking with the ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Mentorship and sponsorship experience growing junior and mid-level engineers What We Offer:, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME) and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position as a hybrid role, with work off-site at CRO in NY/NJ area, work from home and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life=cycle., • Plan, direct, coordinate, and execute activities related to the design, initiation. and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and repor-s. Act as a technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrate and manage Cresilon's preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that the company operates within the scope of regulatory compliance including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for the preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state-of-the-art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross functionally with Regulatory and Quality to assess project risks, product safety and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • DVM, PhD or MD in a relevant discipline is preferred. A Bachelor's in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required. Hands-on surgical experience is require., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job Summary This position is for a Senior Medical Director within the atirmociclib program. This individual contributor will be responsible for supporting clinical trial(s) and lead sub teams in clinical development. The successful candidate should ideally have prior experience in clinical trials, supporting development programs, health authority interactions and demonstrated leadership capabilities to ensure that the clinical development program meets scientific, ethical, and regulatory standards. Job Responsibilities Clinical Development Leadership on Study Teams and Development Subteams Conduct medical monitoring activities including eligibility assessment, data review and safety monitoring. Lead peer-to-peer interactions with investigators Serve as the point of contact for clinical issues between the study team, investigators, ethics committees, steering committees, and regulatory authorities. Lead and contribute to development and maintenance of clinical trial and regulatory documents, in collaboration with Clinical Scientist and the cross-functional team. Provide clinical development leadership across several study teams. Serve as the Clinical Development Lead on subteams including for Marketing Authorization Applications. Strategic Guidance, Clinical Insights & Interpretation Collaborate with the Global Development Team to create and refine development strategies. Represent the company in external engagements or as committee member in joint collaborations. Collaborate with Clinical Scientists to review and interpret clinical data, identify key findings and implications, and communicate to internal and external stakeholders. Maintain a high level of clinical expertise and professional competence by staying abreast of the latest developments, literature, and guidelines to advise on and drive current and future clinical development plans. Basic Qualifications Medical degree with 5 years of industry experience Clinical oncology experience (typically 4 years) Preferred Qualifications Board certified/eligible in oncology or equivalent preferred Breast Oncology experience (2 years) Organizational Relationships Reports to Global Development Lead and partners closely with subject matter experts within cross-functional study team, Pfizer Oncology Division and counterparts in other divisions within Pfizer. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Travel to scientific conferences / meetings several times per year, as needed Relocation support available Work Location Assignment: Hybrid The annual base salary for this position ranges from $242,000.00 to $403,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 25.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

Job DescriptionAbout Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Clinical research focuses on healthcare-specific problems: evaluation frameworks for clinical safety, methods for learning what works across patient populations, and ensuring agent behavior meets the standards healthcare organizations require. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Clinical Research Scientist at Amigo, you'll lead research on clinical AI safety, evaluation frameworks, and evidence generation. You'll design studies that validate agent performance across patient populations, develop metrics for clinical quality, and publish findings that advance the field. Your clinical expertise ensures our agents meet the standards required for autonomous operation in healthcare. This role bridges clinical practice and AI research. You'll work directly with our agent engineering and data science teams to translate clinical knowledge into measurable evaluation criteria and safety guardrails. What you'll do * Design and lead clinical validation studies for AI agent performance * Develop evaluation frameworks and metrics for clinical safety and quality * Publish research on clinical AI safety and agent evaluation methodologies * Collaborate with academic medical institutions on research partnerships * Define clinical protocols and escalation criteria for agent behavior * Review agent outputs and failure modes from a clinical perspective * Contribute to regulatory submissions and compliance documentation * Advise on clinical workflow design and patient safety considerations What we're looking for * MD or equivalent medical degree with active clinical license * Clinical experience in primary care, internal medicine, or relevant specialty * Track record of clinical research and peer-reviewed publications * Understanding of clinical quality metrics and patient safety frameworks * Experience with clinical study design and IRB processes * Ability to translate clinical expertise into technical requirements * Strong communication across clinical, research, and engineering teams * Interest in AI/ML applications in healthcare Nice to have * Fellowship or additional training in clinical informatics * Experience with digital health or health technology companies * Background in quality improvement or patient safety initiatives * Familiarity with FDA guidance on clinical decision support and AI/ML * Experience with EHR systems and clinical workflow optimization * Publications in clinical AI, digital health, or health informatics Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $150K - $300K

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processingBonus points, • Advanced degree in a quantitative or technical field This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Alpaca is seeking an experienced Senior Data Scientist to join our remote, distributed team. This role is pivotal in driving insights and innovation from our rich data ecosystem, including financial transactions, customer data, API usage patterns, and third-party sources. You will be responsible for applying deep predictive and descriptive analytics to unlock strategic value and will be a key player in developing our next generation of agentic AI applications. What You'll Do • Lead Advanced Analysis: Design and execute deep predictive and descriptive analyses across our core business domains, including finance, marketing, and product metrics, to identify key trends, optimization opportunities, and strategic insights., • Develop Agentic AI: Spearhead the research, proof-of-concept (PoC), and full-lifecycle development of data-intensive applications, with a specific focus on building and deploying agentic AI systems., • Drive Model Lifecycle: Own the end-to-end development of data science solutions, from initial research and data handling (high-volume transactions, metrics) through to deployment, optimization, and maintenance., • Cross-Functional Collaboration: Work closely with stakeholders in sales, marketing, product, and operations to understand complex business needs and translate them into actionable, data-driven solutions., • Evolve Capabilities: Contribute to the evolution of Alpaca's data science capabilities by championing best practices in statistical modelling, MLOps, and advanced AI.Required Qualifications, • Domain Experience: Proven experience as a Senior Data Scientist with direct, hands-on experience in the brokerage, trading, or financial services industry., • Technical Proficiency: Expert-level proficiency in Python (including common data science libraries like pandas, scikit-learn, etc.) and advanced SQL., • Data Science Expertise: Deep understanding of statistical methods for supervised and unsupervised learning, with a strong portfolio of building and deploying models in a production environment., • Cloud & Data Warehousing: Hands-on experience with cloud-native data warehouses (e.g., Snowflake, BigQuery, Redshift; we use Trino & Iceberg) and familiarity with modern ETL processes., • Full-Stack Mindset: Ability to lead projects through the entire lifecycle (research, development, deployment, maintenance) and a strong understanding of handling high-volume data., • Collaboration: Excellent communication skills and a proven ability to thrive in a fast-paced, collaborative environment, translating complex findings for non-technical stakeholders.Preferred Qualifications (Nice-to-Have), • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job Description Summary: The Histotechnician performs a variety of routine and complex histological procedures to prepare tissue specimens for microscopic examination by a pathologist or scientist. This position requires a higher level of skill and independence, with responsibilities including advanced staining techniques, troubleshooting, and participation in quality control activities. Responsibilities: • Processes a wide variety of tissue specimens, including complex cases, ensuring proper fixation, processing, and embedding., • Performs routine and advanced microtomy techniques, including cutting various tissue types and troubleshooting cutting artifacts., • Performs routine Hematoxylin and Eosin (H&E) staining, as well as a range of special stains according to established protocols., • Prepares and maintains laboratory solutions, reagents, and stains, following established formulas and procedures., • Performs and documents routine and preventative maintenance on histology laboratory equipment, including microtomes, processors, and stainers., • Identifies and troubleshoots common technical problems related to tissue processing, embedding, microtomy, and staining, taking appropriate corrective actions., • Participates actively in the laboratory's quality assurance and quality control programs, including monitoring control slides and documenting any deviations., • Assists in the training and orientation of new Histotechnician I staff and histology trainees., • Manages the inventory of histology supplies and reagents, ensuring adequate stock levels and may be responsible for ordering supplies as needed., • Accurately enters and retrieves data from the laboratory information system (LIS) for specimen tracking, test results, and quality control records., • Files and retrieves tissue blocks and slides according to laboratory procedures., • Adheres to all laboratory safety policies and procedures, including the proper handling and disposal of hazardous materials., • May assist pathologists with gross examination and frozen section procedures., • Minimum of 3-5 years of experience working as a histotechnician in a laboratory setting, with demonstrated proficiency in routine and special staining techniques., • Strong knowledge of histology principles, techniques, and laboratory procedures., • Demonstrated ability to troubleshoot technical issues and perform quality control procedures., • Proficiency in operating and maintaining histology laboratory equipment., • Experience with laboratory information systems (LIS)., • Excellent attention to detail, manual dexterity, and organizational skills., • Strong communication and interpersonal skills, with the ability to work effectively as part of a team., • Ability to stand and sit for extended periods., • Excellent fine motor skills and hand-eye coordination for precise specimen handling and equipment operation., • Ability to lift and carry up to 25 pounds occasionally., • Normal or corrected vision, including color vision, to accurately assess tissue samples and staining quality.Benefits, • 100% coverage on employee health, vision and dental insurance, • Flexible Spending Accounts (FSA), • Retirement planning (401k), • Team building events outside of the office, • Strong compensation package l3hgAh5tjV

Job Description Job Summary We are seeking an ambitious Environmental Scientist/Geologist to join an up-and-coming environmental consulting firm in the NYC area. The Environmental Scientist/Geologist will be responsible for extensive outdoor fieldwork, including groundwater sampling and site inspections, along with office-based tasks such as data interpretation and report preparation. Ideal for those passionate about environmental science and geology, this role allows you to work in an environment with skilled senior mentors while contributing to meaningful environmental projects. Job Duties and Responsibilities • Collect groundwater samples and confirm depth to groundwater at designated sites., • Conduct inspections at stormwater outfalls, public works properties, active construction sites, and other environmental sites., • Accurately document field obtained data, including sample collection details, site conditions, and other relevant observations., • Label and organize groundwater or soil sample jars to ensure proper handling and storage for laboratory analysis., • Relay collected data and information back to the main office in a timely and accurate manner., • Assist in preparation of field reports and environmental documentation., • Complete and submit environmental forms, applications and reports to the regulatory agencies associated with the sites., • Utilize ArcGIS for mapping field sites and assisting with environmental data collection., • Perform office-based tasks, including data entry interpretation, report writing, and maintaining field records. Required Qualifications • Bachelor's Degree in Environmental Science, Geology, Environmental Engineering, Environmental Policy, or a related field., • At least 6 months of direct experience in environmental fieldwork or a related field., • Proactive attitude with a strong commitment to environmental health and safety., • Ability to lift and carry field equipment, including groundwater sampling gear., • OSHA 40-Hour HAZWOPER Certification., • Reliable transportation with a clean, valid driver's license. Salary: $50,000 - $55,000 Local candidates will only be considered Company Overview IslandSearch Group, Inc., D/B/A ISG Consultants, is an architecture, engineering, construction and environmental consulting and staff augmentation firm that was established in 2018. As a certified MBE, DBE and SBE firm, we have over 26 years of experience providing professional staff in support of programs and projects within the public and private sectors in the Tri-State area. Please apply directly to if you have an interest in exploring this opportunity. IslandSearch Group, Inc. D/B/A ISG Consultants is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against based on disability. #ZR

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Experts in programming languages such as Python & SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Experience with Alteryx (1+ Year), • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for an Associate Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with other data scientists, data engineers, and product managers to improve the logic and systems we use to rank providers and power our recommendations. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build and maintain data-driven algorithms to improve provider recommendations and the member search experience., • Design data pipelines that model and enrich healthcare provider data., • Collaborate across product, engineering, and operations teams to solve open-ended business problems with data-driven solutions.What you will bring to the team:, • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related STEM field., • Less than 1 year of professional experience in data science, analytics, finance, consulting, or product roles., • Proficiency in statistics, hypothesis testing, and exploratory data analysis., • Demonstrated ability to produce high-quality analytical work through internships, academic research, or personal projects., • Experience with Python or SQL, including use of common data science libraries (e.g. Pandas, NumPy, scikit-learn, and visualization tools such as Matplotlib or Plotly), is highly desirable.

Job DescriptionOXMAN OXMAN is a hybrid Design and R&D company that fuses design, technology, and biology to invent multi-scale products and environments. The fusion of disciplines within our work opens previously impossible opportunities within each domain—allowing design to inspire science and science to inspire design. At OXMAN, we question dominant modes of design that have divorced us from Nature by prioritizing humanity above all else (human-centric design). Although it is design that has caused this rift, we believe that design also offers the greatest opportunity to heal it. We propose a Nature-centric approach that delivers design solutions by, for, and with the natural world, while advancing humanity. In this pursuit, we reject all forms of segregation and instead call for a radical synergy between human-made and Nature-grown environments. This approach demands that we design across scales for systems-level impact. We consider every designed construct a whole system of heterogeneous and complex interrelations—not isolated objects—that are intrinsically connected to their environments. In doing so, we open ourselves up to moving beyond mere maintenance toward the advancement of Nature. Summary OXMAN is seeking a Plant Systems & Field Scientist to join our interdisciplinary team exploring the boundaries of design, ecology, and technology. This role is central to developing ecological intelligence for high-performance environments—natural, built, or hybrid. You will lead scientific research and field data acquisition that feed into the simulation, design, and prototyping of ecologically embedded systems and interventions. This position requires expertise in plant ecology, fieldwork methodologies, and environmental sensing technologies. It will serve as a critical bridge between OXMAN’s ecosystem modeling efforts and real-world ecological conditions.Purpose of the Engagement • Monitor and maintain plants and research forests in the OXMAN laboratory and in the field., • Lead field campaigns collecting high-resolution ecological data using advanced tools including hyperspectral imagery, thermal imaging, and LIDAR., • Design, deploy, and manage distributed sensor networks—both in-ground and aerial—to capture real-time environmental and physiological data, while prototyping novel sensing modalities (e.g., micro-electromechanical sensors, spectral fluorometers, Wi-Fi–based moisture sensors)., • Identify physiological and ecological indicators of plant health and stress to inform ecosystem design and evaluation., • Curate species-level datasets that include plant needs (sunlight, water), growth characteristics, companion dynamics, and other functional traits., • Collaborate across disciplines to translate ecological findings into spatial strategies, simulations, and design solutions.Responsibilities, • Plan and execute fieldwork to acquire spectral, thermal, structural, and soil data from project sites., • Design, deploy, operate and maintain sensor platforms (e.g., UAVs, terrestrial sensors, field spectrometers) for reliable and repeatable data collection., • Work with internal teams to align field data with modeling assumptions and simulation inputs., • Conduct research into plant stress responses, phenological patterns, and biophysical indicators of vitality., • Analyze remote sensing data (e.g., NDVI, thermal indices, point clouds) to characterize vegetation structure and function., • Compile and manage plant trait databases that integrate native species profiles, habitat requirements, and performance data., • Support ecosystem modelers by contributing field-derived metrics for calibration and validation of digital twins or simulation environments., • Participate in case study development by synthesizing field insights into design briefs and ecological strategies., • Work alongside designers, architects, and technologists to translate biological systems into engineered interventions.Qualifications, • MS or PhD in Plant Science, Ecology, Environmental Science, Forestry, or related field., • 3–5+ years of field-based ecological research experience, with a strong foundation in plant systems., • Demonstrated experience collecting and analyzing data from hyperspectral imagery, thermal imaging, LIDAR, or satellite sources., • Proficiency in tools such as QGIS, ENVI, R, Python, or Google Earth Engine., • Strong communication and documentation skills for interdisciplinary collaboration., • Experience developing or managing native plant lists for restoration, conservation, or design projects., • Familiarity with trait-based ecological modeling or agent-based simulations., • Knowledge of ecosystem services indicators (e.g., carbon sequestration, albedo, transpiration, resilience)., • Experience working with soil health data, weather station data, or phenocams.What We’re Looking For, • Deep curiosity for how plant systems shape and respond to environmental design., • Comfort navigating the interface between fieldwork, lab-based research, and computational environments., • Initiative to design and execute research agendas that bridge science and application., • A collaborative mindset, eager to co-create with disciplines ranging from architecture and robotics to materials science.Additional Information, • This is a full-time, permanent position based at OXMAN’s headquarters, with travel required to project field sites., • All deliverables and intellectual property developed remain the property of OXMAN.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 2-5 years professional experience in data science, product analytics, and/or healthcare., • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders., • Strong Python and SQL skills., • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success., • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system.Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.Technologies we use:

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Data Scientist (Perpetuals) - Crypto - this is a fully remote role for US based candidates or Europe based candidates (if they can work EST hours). We are the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Data Scientist to join our team. Reporting directly to the Head of Economic Risk & Strategy, you will play a critical role in advancing our modeling capabilities and delivering powerful data insights across decentralized finance. In this role, you will collaborate with protocol teams and internal stakeholders to support strategic research, simulation, and risk analysis. Responsibilities: * Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example) * Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into our simulation platform * Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research * Explore new algorithms and techniques to surface insights in DeFi security and optimizations * Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others * Collaborate with cross-functional teams to ensure high-quality outputs. * Contribute to the continuous improvement and innovation of our platform. Requirements: * 4+ years of professional experience in Data Science – a must * Strong trading background required, including experience building models and deep understanding of derivatives, pricing, financial markets, and systems * Previous experience in FinTech * Solid understanding of machine learning techniques and algorithms * Hands-on experience with Python and relevant data science packages * You love working in small, dynamic, fast-paced teams that encourage you to learn and grow * Strong problem-solving abilities and a passion for DeFi and blockchain technology Preferred Qualifications: * Bonus points for prior web3 experience using Dune or writing smart contracts * Bonus points for DeFi knowledge * Broader understanding of crypto and blockchain ecosystem – a plus * Demonstrated ability to work in a fast-paced, collaborative environment Compensation & Package Our Perks: * Flexible hybrid work environment. * Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays. * 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents. * FSA or HSA (pending on selected health insurance). * Generous 401k plan with employer match. * Thoughtful Parental Leave Policy. * Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP. * Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. * Pre-tax Commuter Benefits. * Salary and seniority level commensurate with experience (range: $130-150K USD)

Job DescriptionSalary: $170k - $200k Principal Computational Scientist Alexandria Center, New York Hybrid - At least 3 days a week in the office (at least) Full Time January/February 2026 start $170k - $200k About Ochre Bio Ochre Bio develops RNA therapies for chronic liver disease. Our driving vision is to end the need for liver transplants. Over 1.5 million people, globally, die of chronic liver disease every year. For the vast majority the only cure is a liver transplant. With little more than 40,000 transplants performed, this is a health lottery. Ochre exists to change this. Our science is built on three pillars: • Causal human discovery:The largest global collection of human liver data to uncover new therapeutic targets., • Rigorous human validation:World-leading human models that far outclass traditional animal models., • Better therapeutic translation:Optimised RNA chemistry and biology to bring effective therapies to patients faster. Were ambitious, curious, and supportive, embracing failure as part of innovation and guided by our three operating values: • Clarkes Law:Be bold. Think big., • Murphys Law:Fail fast. Learn faster., • Wheatons Law:Support each other, always. The Role We are looking for a talented and highly motivated Principal Computational Scientist to join us to drive the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. You will provide strategic and scientific leadership for Ochre Bios advanced statistical modelling efforts, with a focus on Late Validation initiatives from concept through to therapeutic hypothesis. The role is accountable for defining and executing high-impact statistical and computational strategies, influencing cross-functional decision-making, and shaping Ochres statistical modelling roadmap. Based at our New York City site, you will be a key partner to our multi-disciplinary late validation team focussed on leveraging our unique human tissue and whole-organ liver models Key Responsibilities • Define the strategic vision for advanced statistical modelling for Ochres Late Validation Platform, • Lead the design, development, and deployment of innovative statistical frameworks for deep-phenotyping datasets., • Oversee experimental design across multiple programs, ensuring statistical rigor and optimal data acquisition., • Act as a thought leader for integrating multi-modal data into target validation pipelines., • Mentor Senior Scientists and other team members, fostering technical excellence and career growth., • Oversee the development and scaling of cloud-based computational workflows and ensure best practices for reproducibility and version control. Must-haves • PhD in Statistics, Computational Biology, Bioinformatics, or related quantitative discipline, with substantial postdoctoral and/or industry experience., • Proven track record of leading large-scale statistical modelling projects from conception to implementation in biotech/pharma., • Demonstrated enthusiasm to blend strategic drive with hands-on data analysis and execution, • Demonstrated leadership in cross-functional project teams., • Deep expertise in advanced statistical methods (e.g., Bayesian modelling, hierarchical modelling, causal inference) and their application to biological datasets., • Strong coding skills in Python and/or R. Nice-to-haves • Experience leading geographically distributed teams and managing multiple concurrent projects., • Experience building scalable and automated data analysis pipelines (e.g. Nextflow)., • Prior experience with preclinical or clinical trial data analysis., • Experience with project and line management, especially in matrix environments. If youre ready to make an impact in the fight against chronic liver disease, wed love to hear from you Apply now!

Job Description POSITION ANNOUNCEMENT Assistant Research Scientist Salary Grade 14 $52,753.00 - $63,167.00 Full-Time Position The Research Foundation for Mental Hygiene, Inc. is seeking highly skilled and motivated candidate to fill a full-time Assistant Research Scientist position in the Immunobiology and Immunotherapy Laboratory. The applicant should have extensive experience/expertise in mouse ischemia models, behavioral testing, molecular/cellular analysis, and have the skills with molecular technology. The successful candidate will contribute to studies investigating mechanisms of brain injury, testing novel therapeutic strategies in preclinical models, as well as assessing the therapeutic efficacy of immunotherapy in neurodegenerative diseases. This is a grant-based full-time position for 40 hours per week. Duties and Responsibilities: An Assistant Research Scientist will work closely with the Neurochemistry research team members and share the responsibilities that include but are not limited to: • Design and perform in vivo experiments using mouse ischemia models (e.g., MCAO, photothrombotic, or global ischemia models)., • Design and perform in vivo experiments to assess the efficacy of immunotherapy in mouse models of neurodegenerative diseases., • Administer drugs by intramuscular injection, intravenous injection, or intraperitoneal injection., • Conduct neurological and behavioral assessments (e.g., rotarod, open field, Morris water maze, neurological deficit scoring)., • Perform Western blotting, immunohistochemistry, and related molecular and histological analyses., • Manage animal colonies, perform surgeries, and ensure compliance with IACUC and institutional animal care protocols., • Maintain accurate and organized records of experiments, data, and results., • Collaborate with team members and contribute to data interpretation, presentations, and publications. Minimum Qualifications: • Bachelor's Degree or higher degree in biology or relevant field, • 1 year of experience in relevant field or 30 Graduate Hours. Preferred Qualifications: • Familiarity with RNA-seq technology and data analysis., • Familiarity with Nanobody and monoclonal antibody generation., • Familiarity with integrating multi-omics datasets (transcriptomics, proteomics, spatial data). To Apply: Submit a resume and cover letter on our website at: . Only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role We’re looking for a Data Scientist to help power our marketing strategy. In this role, you’ll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company’s growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $150K - $200K

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Lead Data Scientist runs modeling and analytics projects to achieve business objectives and support Oscar's goals. You will report into the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, company equity grants, and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionCareer Renew is recruiting for one of its clients a Product Data Scientist - Crypto - this is a fully onsite role for London or New York based candidates. Salary range: 250-300K USD yearly. About the Role We're seeking an experienced, versatile Product Data Scientist who thrives in a fast-paced environment. In this role, you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact across our product. You'll collaborate with cross-functional teams while maintaining ownership of your projects from conception to completion. What You'll Do * Design, run, and analyze A/B tests to optimize our consumer product experience * Proactively identify problems and opportunities through data analysis * Build and maintain dashboards to track key metrics and visualize insights * Develop models to understand user behavior and predict outcomes * Collaborate with product and engineering teams to implement data-driven solutions * Drive projects independently from problem identification through solution implementation * Communicate complex findings clearly to technical and non-technical stakeholders * Help establish data best practices and methodologies Requirements * 2-3 years of data science experience at a startup, scale-up, or FAANG/equivalent company * Proficiency with Python/R and SQL/BigQuery * Strong experience designing, running, and analyzing A/B tests on consumer products * Demonstrated ability to work autonomously, managing entire projects from ideation to implementation * Experience translating data insights into actionable recommendations * Excellent communication skills, with the ability to present complex findings clearly Preferred Qualifications * Experience with cryptocurrency and blockchain data * Strong data visualization skills (especially with Grafana) * Experience working with event tracking data (especially FullStory) * Advanced knowledge of statistical methods and causal inference * Experience building and maintaining data pipelines (especially with Dataform) * Familiarity with Machine Learning methods and applications * Experience in consumer tech products or fintech What We're Looking For We value generalists over specialists. The ideal candidate has breadth across the data science field rather than deep expertise in just one area. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. You'll thrive in our environment if you enjoy autonomy and are excited about having end-to-end ownership of your work. Benefits * Competitive salary and equity package * Flexible work arrangements * Comprehensive health benefits * Professional development budget * Collaborative, fast-paced environment * Opportunity to shape the future of [industry/product] * We're building a diverse team and encourage applications from candidates of all backgrounds Compensation & Package Base Salary + Equity/Tokens

Job DescriptionAbout Amigo Amigo builds AI agents for healthcare—systems that handle patient conversations, take clinical actions, and escalate to humans when needed. Our agents operate autonomously within bounded clinical domains. We're building the evaluation and safety infrastructure to validate agent performance at scale—simulation frameworks, outcome correlation, and systematic bias detection. Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions. About this role As a Research Scientist at Amigo, you'll lead our research agenda and publication strategy. You'll design studies that validate AI agent performance, develop evaluation frameworks for clinical safety, and publish findings that set a new standard for healthcare AI research. This is a senior role focused on building Amigo's research credibility through rigorous, reproducible work. We have an opportunity to lead the field—most healthcare AI research lacks publicly available datasets and rigorous methodology. You'll change that. What you'll do * Lead research on AI agent evaluation, simulation fidelity, and safety boundary testing * Publish preprints and peer-reviewed papers at top venues * Design studies correlating agent interactions with clinical outcomes * Develop methods for detecting demographic biases in agent responses * Coordinate research collaborations with academic medical institutions * Ensure datasets are publicly available and methodologies are reproducible * Manage IRB processes and peer review submissions * Present findings at conferences and represent Amigo in the research community What we're looking for * PhD in machine learning, statistics, computational healthcare, or related field from a top program * Strong publication record at top-tier venues (NeurIPS, ICML, ICLR, AAAI, CHIL, etc.) * Experience with evaluation frameworks, benchmarking, or AI safety research * Track record of rigorous, reproducible research with public datasets * Ability to translate research findings into production improvements * Excellent written communication—clear, precise scientific writing * Experience coordinating with academic institutions Nice to have * Research experience at leading AI labs (industry or academic) * Publications on AI evaluation, safety, fairness, or healthcare ML * Experience with clinical study design or IRB processes * Background in simulation-based evaluation or synthetic data * Track record of successful academic-industry collaborations Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $150K - $300K